Director Information & Analytics

About the role

The Director, Information & Analytics oversees the implementation of the Enterprise Asset Management program, focusing on data architecture, analytics, and operational integration to support MTA and LIRR goals.

Responsibilities

• Establish the enterprise-wide vision for data, analytics, and information management to support operational, financial, and strategic decision-making.
• Serve as a change agent, driving the organization away from siloed legacy practices toward integrated, enterprise-centric solutions.
• Oversee the implementation of the Enterprise Asset Management (EAM) program with a strong focus on data architecture, analytics, and operational integration, ensuring that asset management applications are designed and configured to maximize data quality, analytically capability, and business insight in support of MTA and LIRR goals.
• Develop and enforce procedures for the capture, maintenance, quality, and governance of asset and operational data across the organization.
• Direct advanced analytics, including predictive and prescriptive modeling, to proactively influence operational strategies such as maintenance, safety, asset reliability, and capacity planning.
• Integrate disparate data sources and oversee development of enterprise-level analytics environments.
• Manage a complex portfolio of EAM, GIS, operational analytics, and data strategy initiatives, ensuring alignment with organizational standards and IT architecture.
• Lead a technical team using agile methodologies to plan, design, develop, configure, test and implement solutions in MTA IT environments.
• Evaluate and guide adoption of emerging technologies including AI/ML, cloud platforms, integration frameworks, and advanced analytical tools to support digital transformation objectives.
• Facilitate stakeholder engagement to identify improvement opportunities, assess emerging technologies (Artificial Intelligence/Machine Learning [AI/ML], advanced analytics platforms), and align enhancements with organizational goals.
• Rapidly learn operational constraints, business requirements, and legacy systems across all parts of LIRR to solve complex, multi-disciplinary problems.
• Translate complex analytical findings into clear, actionable recommendations for senior leadership.
• Coordinate with Operations, Engineering, IT, Finance, and other departments to ensure analytics solutions align with business needs and enterprise architecture.
• Liaison with approximately 30+ cross-departmental stakeholders for data, analysis, and system integration initiatives.
• Communicate project outcomes, system changes, and strategic initiatives through presentations, newsletters, and participation in HQ change management and strategy planning events.
• Support departmental administration, procurement, budgeting, risk management, and staffing plans.
• Train and mentor staff, developing succession and transition plans.
• Support change management activities by championing strategic communication, engagement, and adoption of new systems and processes across departments.

Requirements

• Bachelor’s degree in engineering, Computer Science, Data Science, Planning, Business Administration, or related field.
• Demonstrated directly related experience may be considered in lieu of a degree and is subject to approval.
• Proficiency in SQL is critical for database querying.
• Python or R is required for data cleaning, manipulation, and analysis.
• Strong foundation in statistics, mathematical modeling, and algorithms.
• A strong understanding of the importance of document management systems, both electronic and hard copy, and their integration with Asset Information Systems.
• An understanding of computer systems characteristics, features, and integration capabilities, with a focus on asset management systems and supporting applications.
• Strong management skills with the ability to effectively communicate ideas and concepts as well as facts and to identify priorities and organize activities accordingly.
• A self-motivated individual with the ability to oversee and motivate others and influence decisions, capable of identifying problems and recommending alternative solutions.
• Strong project management skills.
• A strong understanding of the importance of tracking and evaluating maintenance systems data that directly impacts infrastructure safety and reliability.
• A strong background in dashboard building platforms like Tableau, Power BI, plotly, ArcGIS Insights, Leaflet, and communicating insights is necessary.
• The ability to work independently as well as in groups to achieve defined goals and objectives.
• A strong understanding of the importance of human relations, communication (both written and oral), and interpersonal skills with the ability to effectively communicate at all levels of the company and with outside agencies.
• The ability to work outside of normal work hours (i.e., evenings and weekends).
• A strong background in strategic planning and execution, business planning, data and statistical analysis, and data reporting.
• Experience in driving growth and competitiveness by identifying, developing, and implementing new ideas, technologies, or processes.
• Experience managing and developing professional staff with accountability towards a budget.
• A strong background in building analytics tools that utilize the data to provide actionable insights into operational efficiency and other key business performance metrics.

Qualifications

• Master’s degree in Arts/Sciences (MA/MS).
• Understanding of MTA Capital Program guidelines and requirements.
• Knowledge of geospatial technologies and analysis.
• Knowledge of Artificial Intelligence and Machine Learning.
• Possess thorough knowledge of asset management information systems best practices and spatially enabled mobile asset management technologies in addition to understanding Publicly Available Specification 55 (PAS55), ISO 55000, and FTA Asset Management Guide.
• Experience in the transportation industry, specifically exposure to railroad operations, is preferred.